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://www.universiteitleiden.nl/en/science/about-faculty-of-science What you bring This position is a good fit for you if you recognise yourself in the following: A PhD in Astronomy, Astrophysics, Physics, Computer Science, or a
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an outstanding candidate to fill a tenure track Fellow (Assistant Professor level) position in the field of Computer Science, with emphasis on formal methods and theorem proving. The candidate is expected to start
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30 Dec 2025 Job Information Organisation/Company Institute of Archaeology Department Zagreb Research Field History » Archaeology Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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precision clinics, genome-informed care, and AI-enabled clinical workflows. The position will work within UTA’s Center for Innovation in Health Informatics (CIHI) and collaborate closely with Cook Children’s
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departmental, college, and university service activities. Teaching takes place within a graphic design program that imbues students with a strong understanding of history, theory, and contemporary graphic design
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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Administrative Guide, http://adminguide.stanford.edu . The expected pay range for this position is $115,103 to $134,261 per annum. Stanford University provides pay ranges representing its good faith estimate
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collaborate with us on ambitious formalisation projects. An ideal candidate: holds a PhD degree in computer science, or a PhD degree in mathematics, or equivalent; has a research track record at a high
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
), Constraint Solving, Planning, Answer Set Programming, Model Checking, Symbolic Computation, Knowledge Representation, Reasoning under Uncertainty, Non-monotonic Reasoning, Expert Systems. Programming languages
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis